Surveillance of strangles in UK horses between 2015 and 2019 based on laboratory detection of Streptococcus equi.


Journal

The Veterinary record
ISSN: 2042-7670
Titre abrégé: Vet Rec
Pays: England
ID NLM: 0031164

Informations de publication

Date de publication:
Dec 2021
Historique:
revised: 21 07 2021
received: 23 02 2021
accepted: 09 09 2021
pubmed: 28 9 2021
medline: 27 1 2022
entrez: 27 9 2021
Statut: ppublish

Résumé

Previously national surveillance data for monitoring strangles (Streptococcus equi infection) in UK horses was limited. Improved awareness and knowledge of positive diagnoses would permit the optimisation of biosecurity protocols, decreasing the prevalence of strangles. Seven UK laboratories reported positive strangles diagnoses between 1 January 2015 and 31 December 2019 based on identifying Streptococcus equi via agent detection assays from field-based practitioner-submitted samples. Associated clinical history and animal signalment were collected where provided, and descriptive analysis undertaken. Within the study period, 1617 laboratory-confirmed diagnoses occurred from samples submitted by 315 veterinary practices. Of these, 51.6% were swabs and 44.0% guttural pouch lavages. Diagnoses were primarily based on qPCR alone (59.6%), qPCR and culture (35.8%), or culture alone (4.6%). A total of 1791 clinical signs were reported for 713 diagnoses, where nasal discharge (31.3%) and pyrexia (20.5%) were most frequently reported. Regions with the highest number of diagnoses included North Yorkshire (n = 75, 4.6%), Staffordshire (n = 71, 4.4%) and West Sussex (North East) (n = 63, 3.9%). This study presents important insights into the diagnosis and clinical features of strangles in UK horses, even though limited and/or missing clinical history and signalment on laboratory submission forms restricts the completeness of the data.

Sections du résumé

BACKGROUND BACKGROUND
Previously national surveillance data for monitoring strangles (Streptococcus equi infection) in UK horses was limited. Improved awareness and knowledge of positive diagnoses would permit the optimisation of biosecurity protocols, decreasing the prevalence of strangles.
METHODS METHODS
Seven UK laboratories reported positive strangles diagnoses between 1 January 2015 and 31 December 2019 based on identifying Streptococcus equi via agent detection assays from field-based practitioner-submitted samples. Associated clinical history and animal signalment were collected where provided, and descriptive analysis undertaken.
RESULTS RESULTS
Within the study period, 1617 laboratory-confirmed diagnoses occurred from samples submitted by 315 veterinary practices. Of these, 51.6% were swabs and 44.0% guttural pouch lavages. Diagnoses were primarily based on qPCR alone (59.6%), qPCR and culture (35.8%), or culture alone (4.6%). A total of 1791 clinical signs were reported for 713 diagnoses, where nasal discharge (31.3%) and pyrexia (20.5%) were most frequently reported. Regions with the highest number of diagnoses included North Yorkshire (n = 75, 4.6%), Staffordshire (n = 71, 4.4%) and West Sussex (North East) (n = 63, 3.9%).
CONCLUSION CONCLUSIONS
This study presents important insights into the diagnosis and clinical features of strangles in UK horses, even though limited and/or missing clinical history and signalment on laboratory submission forms restricts the completeness of the data.

Identifiants

pubmed: 34570896
doi: 10.1002/vetr.948
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e948

Informations de copyright

© 2021 The Authors. Veterinary Record published by John Wiley & Sons Ltd on behalf of British Veterinary Association.

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Auteurs

Abigail McGlennon (A)

Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, UK.
Centre for Preventive Medicine, Animal Health Trust, Newmarket, UK.

Andrew Waller (A)

Centre for Preventive Medicine, Animal Health Trust, Newmarket, UK.
Intervacc, Hägersten, Stockholm, Sweden.

Kristien Verheyen (K)

Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield, UK.

Josh Slater (J)

University of Melbourne Veterinary School, Werribee, Victoria, Australia.

John Grewar (J)

jDATA Pty (Ltd), Hermanus, South Africa.

David Aanensen (D)

Wellcome Trust Sanger Institute, Hinxton, Saffron Walden, England.

Richard Newton (R)

Centre for Preventive Medicine, Animal Health Trust, Newmarket, UK.
British Horseracing Authority, London, UK.

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Classifications MeSH